Instructions to use psh3333/document_classification_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use psh3333/document_classification_V3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("psh3333/document_classification_V3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from psh3333/document_classification_V3: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/psh3333/document_classification_V3/resolve/main/tokenizer.json
- Command line
-
hf download hf://psh3333/document_classification_V3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/psh3333/document_classification_V3/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 9755e0c64171613a255018acb3314c4ef76f8f0aecb2bdb2d96369c28c6cbe75
- Size of remote file:
- 11.4 MB
- SHA256:
- fda43f88f554227dcbc947da21a239a1742f0b4a68e6a6e7c1e7894d656a657c
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